Random Surface Covariance Estimation by Shifted Partial Tracing

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Random Surface Covariance Estimation by Shifted Partial Tracing

Chattez avec Graph Search

Random matrix methods for high-dimensional machine learning models

TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression

Stability: a search for structure

Anisotropic Adaptive Finite Elements for a p-Laplacian Problem

Spectral Estimators for High-Dimensional Matrix Inference

Positive Definite Completions and Continuous Graphical Models

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Validation of semi-analytical, semi-empirical covariance matrices for two-point correlation function for early DESI data

Stochastic adaptive resampling for the estimation of discrete choice models

Euclid preparation: LII. Forecast impact of super-sample covariance on 3A- 2pt analysis with Euclid

An equilibrated flux a posteriori error estimator for defeaturing problems

Graph generative deep learning models with an application to circuit topologies

Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons

Unbiased Likelihood Estimation of Wright–Fisher Diffusion Processes

Detecting whether a stochastic process is finitely expressed in a basis

Transportation-based functional ANOVA and PCA for covariance operators

Towards a multiscale point cloud structural similarity metric

Error estimates for SUPG-stabilised Dynamical Low Rank Approximations

Accurate and agile flight with winged drones

Probing the nature of Dark Energy through the study of large scale structures using spectroscopic surveys and their simulations